Car-Following Model Calibration Based on Driving Simulator Data to Study Driver Characteristics and to Investigate Model Validity in Extreme Traffic Situations

In this paper we use traffic data from a driving simulator study to calibrate four different car-following models. We also present two applications for which the calibration results can be used. The first application relied on the advantage that driving simulator data also contain information on driver characteristics, for example, age, gender, or the self-assessment of driver behavior. By calibrating the models for each driver individually, the resulting model parameters could be used to analyze the influence of driver characteristics on driver behavior. The analysis revealed that certain characteristics, for example, self-identification as an aggressive driver, were reflected in the model parameters. The second application was based on the capability to simulate dangerous situations that require extreme driving behavior, which is often not included in datasets from real traffic and cannot be provoked in field studies. The model validity in these situations was analyzed by comparing the prediction errors of normal and extreme driving behavior. The results showed that all four car-following models underestimated the deceleration in an emergency braking scenario in which the drivers were momentarily shocked. The driving simulator study was validated by comparing the calibration results with those obtained from real trajectory data. We concluded that driving simulator data were suitable for the two proposed applications, although the validity of driving simulator studies must always be regarded.

• Record URL:
  https://doi.org/10.1177/03611981211032650
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Moritz Berghaus https://orcid.org/0000-0002-8778-4463 © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Berghaus, Moritz
  • 0000-0002-8778-4463
  • Kallo, Eszter
  • Oeser, Markus
• Publication Date: 2021-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1214-1232
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2675
  • Issue Number: 12
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Behavior; Calibration; Car following; Drivers; Driving simulators; Human characteristics; Traffic data; Traffic models
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01781565
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Sep 13 2021 4:08PM